Gregory R. Hamm

This study shows that combining hypoxia-activated prodrugs with chemotherapy disrupts metabolic resistance mechanisms in osteosarcoma by targeting ferroptosis, glycolysis, and survival pathways.

SMEW provides a code-free, interactive platform for analyzing spatial metabolomics data across multiple scales and conditions to identify metabolic patterns and biological pathways.

The paper introduces MAGPIE, a framework for integrating spatial transcriptomics, metabolomics, and tissue morphology data, demonstrating its application in studying drug-induced pulmonary fibrosis.

This study develops a multi-omics framework to identify biomarkers of inhaled drug-induced lung toxicity using spatial transcriptomics, proteomics, and histopathological data.

The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.